End of training
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README.md
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---
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base_model: HuggingFaceTB/135M-lc-100k-rope-12B
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: smollm2-135M-8k-lc100k-mix1-ep2
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/bxdnlpsh)
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# smollm2-135M-8k-lc100k-mix1-ep2
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This model is a fine-tuned version of [HuggingFaceTB/135M-lc-100k-rope-12B](https://huggingface.co/HuggingFaceTB/135M-lc-100k-rope-12B) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.8390
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---
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base_model: HuggingFaceTB/135M-lc-100k-rope-12B
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- HuggingFaceTB/magpie-ultra-v1.0-top-300K-short-H4
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- HuggingFaceTB/OpenHermes-2.5-H4-200k
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- HuggingFaceTB/ifeval-like-data-36k-H4
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- HuggingFaceTB/everyday-conversations-llama3.1-2k
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- HuggingFaceTB/self-oss-instruct-sc2-H4
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- HuggingFaceTB/summarization-data-10k-H4
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- HuggingFaceTB/smollm-v2-summarization
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- HuggingFaceTB/smollm-v2-rewriting-50k-H4
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- HuggingFaceTB/explore-instruct-rewrite-H4
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- HuggingFaceTB/LongAlign-16k-ctx-english-H4
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model-index:
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- name: smollm2-135M-8k-lc100k-mix1-ep2
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/bxdnlpsh)
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# smollm2-135M-8k-lc100k-mix1-ep2
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This model is a fine-tuned version of [HuggingFaceTB/135M-lc-100k-rope-12B](https://huggingface.co/HuggingFaceTB/135M-lc-100k-rope-12B) on the HuggingFaceTB/magpie-ultra-v1.0-top-300K-short-H4, the HuggingFaceTB/OpenHermes-2.5-H4-200k, the HuggingFaceTB/ifeval-like-data-36k-H4, the HuggingFaceTB/everyday-conversations-llama3.1-2k, the HuggingFaceTB/self-oss-instruct-sc2-H4, the HuggingFaceTB/summarization-data-10k-H4, the HuggingFaceTB/smollm-v2-summarization, the HuggingFaceTB/smollm-v2-rewriting-50k-H4, the HuggingFaceTB/explore-instruct-rewrite-H4 and the HuggingFaceTB/LongAlign-16k-ctx-english-H4 datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.8390
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 173253108695040.0,
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"train_loss": 1.2838877389321521,
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"train_runtime": 2377.8575,
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{
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"epoch": 2.0,
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"eval_loss": 1.8389793634414673,
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"eval_runtime": 84.0638,
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"eval_samples": 190563,
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"eval_samples_per_second": 154.609,
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"eval_steps_per_second": 4.842,
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"total_flos": 173253108695040.0,
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"train_loss": 1.2838877389321521,
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"train_runtime": 2377.8575,
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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-
"use_cache":
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"vocab_size": 49152
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}
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 49152
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.8389793634414673,
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"eval_runtime": 84.0638,
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"eval_samples": 190563,
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"eval_samples_per_second": 154.609,
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"eval_steps_per_second": 4.842
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}
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runs/Oct31_07-14-36_ip-26-0-170-143/events.out.tfevents.1730361415.ip-26-0-170-143.2039241.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f54b2e93d1bc23b56be24a10cf2df5ebb09f4bcc45e186fc273ca1c0884b931a
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size 359
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